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Remote Snowflake Jobs in Missouri (NOW HIRING)

Kobie Marketing

AI Engineer

Saint Louis, MO · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... and Snowflake . Position Overview Lead the modernization of our data infrastructure as a Data ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... and Snowflake . Position Overview Lead the modernization of our data infrastructure as a Data ...

Kobie Marketing

Sr. Data Engineer

Saint Louis, MO · Remote

$103K - $140K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... You will bring deep Snowflake expertise and strong engineering instincts to own production data ...

Jobgether

$88K - $106K/yr

Hands-on experience with Snowflake, including data loading, external stages, security controls ... Fully remote working opportunity across eligible locations. * Flexible working environment designed ...

Premier Tech Inc

Software Engineer

Kansas City, MO · Remote

Remote (All candidates must reside within 100 miles of Kansas City) Hours: 37.5 hrs/week Note: An ... Experience with AWS, Kafka, Okta, or Snowflake. * Familiarity with Angular Material. * Previous ...

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... data platforms (Snowflake, Databricks), and data processing frameworks (Hadoop, Spark)

Kohl's

$112K - $148K/yr

Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake). * Write complex SQL queries for advanced data transformation, aggregation, and analytics ...

Jobgether

Proficiency with SQL and technologies such as Snowflake, BigQuery, dbt, Airflow, Tableau, or Looker ... Fully remote work flexibility with support for different working environments. * Monthly coworking ...

Jobgether

... Snowflake, BigQuery, Databricks) * Strong Python and/or Scala skills for data pipelines and ... Fully remote role within Europe with flexible working arrangements * Opportunity to work on ...

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All JobsSnowflake JobsRemote Snowflake JobsRemote Snowflake Jobs in Missouri

Remote Snowflake information

See Missouri salary details

$33

$63

$79

How much do remote snowflake jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote snowflake in Missouri is $63.41, according to ZipRecruiter salary data. Most workers in this role earn between $56.15 and $71.92 per hour, depending on experience, location, and employer.

Is it hard to get hired at Snowflake?

Getting hired for a remote Snowflake role can be competitive, as the company seeks candidates with strong data warehousing skills, cloud platform experience, and proficiency in SQL and Python. Candidates often go through multiple interview rounds assessing technical knowledge and problem-solving abilities. Having relevant certifications and a solid understanding of cloud environments can improve chances of success.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly sought after, and many organizations are hiring for these positions to support data-driven decision making.

What are the key skills and qualifications needed to thrive in the Remote Snowflake position, and why are they important?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What is a Remote Snowflake job?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

How to make $80,000 a year working from home?

A remote Snowflake professional can earn $80,000 or more annually by gaining expertise in data warehousing, SQL, and cloud platforms, often requiring certifications like Snowflake Certified Data Engineer. Building a strong portfolio, demonstrating technical skills, and working for companies that offer remote roles with competitive salaries can help achieve this income level.

Does Snowflake offer remote jobs?

Yes, Snowflake offers remote job opportunities across various roles, including positions in data engineering, software development, and sales. Many of these roles are fully remote or have flexible work arrangements, often requiring familiarity with cloud platforms and data tools.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

What are the most commonly searched types of Snowflake jobs in Missouri? The most popular types of Snowflake jobs in Missouri are:
What are popular job titles related to Remote Snowflake jobs in Missouri? For Remote Snowflake jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Snowflake jobs in Missouri look for? The top searched job categories for Remote Snowflake jobs in Missouri are:
What cities in Missouri are hiring for Remote Snowflake jobs? Cities in Missouri with the most Remote Snowflake job openings:
Remote Snowflake jobs near you
Infographic showing various Remote Snowflake job openings in Missouri as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution, with an average salary of $131,903 per year, or $63.4 per hour.
AI Engineer

AI Engineer

Kobie Marketing

Saint Louis, MO • Remote

Full-time

Re-posted 5 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

         Flexible Time Off to recharge when needed 
         Nine Company-Wide Holidays 
         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we'll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There's no single path into this role. We value the impact of what you've built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use  API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty! 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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